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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Big Data Hub

“AI is an unbelievable opportunity to address some of the world’s most pressing challenges in health care, manufacturing, climate change and more,” said Christina Shim, IBM’s global head of Sustainability Software and an AI Ethics Board member. In our 2023 Impact Report , we reported that 70.6%

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

trillion in economic benefits by 2030. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024. Instead of seeing things as disposable, it encourages the reuse and recycling of products. Research expects that transitioning to a circular economy could generate USD 4.5

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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

More than 110 countries at the United Nations’ COP28 climate change conference agreed to triple that capacity by 2030, and global investment in clean energy transition hit a record high of USD 1.8 Through AI, IoT and analytics, this cloud-based platform can optimize performance and reduce operational costs. trillion in 2023.

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MY TAKE: How digital technology and the rising gig economy are exacerbating third-party risks

The Last Watchdog

By 2030, 50 percent of employees are expected to be contract workers, Allen noted. On the operating side, whether it’s manufacturing or energy generation, or whatever, those folks are not security experts and they don’t have a connection with IT security people.” Expansion of the gig economy. OT and IT convergence.

Risk 164
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Regardless, given the wide range of predictions for AGI’s arrival, anywhere from 2030 to 2050 and beyond, it’s crucial to manage expectations and begin by using the value of current AI applications. The majority (72%) of enterprises that use APIs for model access use models hosted on their cloud service providers.

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The Economy of Things: the next value lever for telcos

IBM Big Data Hub

The number of IoT connected devices are growing in practically every industry, and is even predicted to reach 29 billion worldwide by 2030. The widespread adoption of EoT requires a quantum-secure IoT network (sensor, edge device, core or cloud system) grounded in the zero-trust concept of “never trust, always verify.”

IoT 51
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How to choose the best AI platform

IBM Big Data Hub

trillion to the global economy in 2030, more than the current output of China and India combined.” ” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 trillion in value. .”